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Strategies for avoiding preference profiling in agent-based e-commerce environments

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Strategies for avoiding preference profiling in agent-based e-commerce environments

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Serrano, E.; Such, JM.; Botia, JA.; García Fornes, AM. (2014). Strategies for avoiding preference profiling in agent-based e-commerce environments. Applied Intelligence. 40(1):127-142. doi:10.1007/s10489-013-0448-2

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50447

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Title: Strategies for avoiding preference profiling in agent-based e-commerce environments
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
Agent-based electronic commerce is known to offer many advantages to users. However, very few studies have been devoted to deal with privacy issues in this domain. Privacy is of great concern and preserving users' privacy ...[+]
Subjects: Privacy , Agent-based e-commerce , Preference profiling , Interaction analysis , Data mining
Copyrigths: Reserva de todos los derechos
Source:
Applied Intelligence. (issn: 0924-669X )
DOI: 10.1007/s10489-013-0448-2
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s10489-013-0448-2
Thanks:
This research work is supported by the Spanish Ministry of Science and Innovation in the scope of the Research Projects TSI-020302-2010-129, TIN2011-28335-C02-02 and through the Fundacion Seneca within the Program 04552/GERM/06.[+]
Type: Artículo

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